Back close

Enhancing QoS in Long-Range Ocean Wireless Communication Networks: A Performance Evaluation

Dept/Center/Lab: Amrita Center for Wireless Networks and Applications (AWNA)

Project Incharge:Dr. Maneesha Vinodini Ramesh
Co-Project Incharge:Dr. B. S. Manoj, Dr. Sajal K Das, Dr. Dilip Krishnaswamy
Enhancing QoS in Long-Range Ocean Wireless Communication Networks: A Performance Evaluation

Marine fishermen face challenges of limited cellular coverage and isolation during fishing trips, leading to safety risks and mental depression. This project proposes a cost-effective solution that enables fishermen to use their smartphones for internet access at sea, using Wi-Fi and a long-range backhaul network. The proposed solution allows marine fishermen to use their existing smartphones for internet access at sea using Wi-Fi. An Access Point (AP) on the boat connects to an onboard gateway, which then connects to a long-range Wi-Fi backhaul network .Availability of internet services at sea is essential for accessing applications and services that can improve fishing business, such as E-commerce and live data of potential fishing zones advisory, search and rescue operations . Link quality parameters need to be studied to identify locations with reliable internet connectivity for emergency communication using VoIP services and other applications.

Publication Details

Patent Details

    Related Projects

    Development of Spinodal bronze, Bronze Matrix Composite and Functionally Gradient Bronze and Comparison of their Mechanical and Wear Properties
    Development of Spinodal bronze, Bronze Matrix Composite and Functionally Gradient Bronze and Comparison of their Mechanical and Wear Properties
    E-Learning Technologies
    E-Learning Technologies
    Development of mm Wave Antennas for 5G Communications
    Development of mm Wave Antennas for 5G Communications
    Enhancing Teaching and Learning of Vocational Skills through Machine Learning and Cognitive Training (MCT)
    Enhancing Teaching and Learning of Vocational Skills through Machine Learning and Cognitive Training (MCT)
    Edge Preserving Image Fusion Using RMS Contrast and Linear Prediction Model
    Edge Preserving Image Fusion Using RMS Contrast and Linear Prediction Model
    Admissions Apply Now